Fundamentals of Artificial Intelligence, its history, and applications across various industries. Suitable for beginners of all ages.

Core concepts of Machine Learning, including supervised and unsupervised learning. Hands-on projects for practical understanding.

Exploring Generative AI models like GANs and VAEs, and their creative applications in art, music, and content generation.

Understanding how AI systems can process and integrate information from multiple modalities, such as text, images, and audio.

Developing autonomous agents that can perceive their environment, make decisions, and take actions to achieve specific goals.

In-depth discussion on the ethical implications of AI, including bias, fairness, transparency, and accountability.